Application And Study Of Intelligent Control In Water Treatment

The development of membrane separation technology promotes the sewage treatment and reuse, especially a hollow fiber device, which has the advantages of compact structure, convenience and flexibility of equipment control, which has been widely applied in the food and chemical industry, metallurgy, power generation and other industries for wastewater treatment. However, the hollow fiber device can be effected by the operation conditions, membrane material, water quality characteristics,etc. So the core component-hollow fiber membrane is especially vulnerable to pollution in the process. Membrane pollution situation is usually judged by human experience according to trans-membrane pressure differential and flux change. Due to human factors, the parameter regulating process is very subjective, and membrane equipment parameter adjustments which have low efficiency and precision need performing repeatedly debugging. Once the membrane components require periodic gas water cleaning and chemical cleaning, the membrane filaments will be subjected to a certain degree of pollution. Facts have proved that this general cleaning and recovery "end settlement" is difficult to make the membrane filaments return completely to the initial state. Even if the membrane filaments return to the initial state, the normal flux is difficult to maintain for a longer time.With the increase in the number of using and washing, the chemical effects of cleaning agents and residual membrane fouling will directly affect the hollow fiber materials and structural properties, and the time to maintain normal flux will be shorter and shorter. In addition, due to lacking of unified influent water quality standards for hollow fiber apparatus in the current. Once paroxysmal water pollution appears, it is likely to make membrane systems subjected to severe pollution and could not return to normal standard and at last batched membrane module is scraped and leads to serious economic losses.In view of the above problems, this paper develops decision-making method and system of intelligent diagnosis and early warning to membrane pollution for hollow fiber equipment,which according to the three-tier hardware architecture, BP neural network and fuzzy expert system we design a hollow fiber membrane fouling warning and intelligent control system, which can be realized on membrane fouling prediction, intelligent diagnosis and control. The system can effectively control the membrane systems with real-time operation, it can adjust the system parameters with the water quality changes. It effectively inhibits the membrane fouling, reduces the off-line chemical cleaning of the membrane. With this, it can avoid physical and chemical damage, and extended membrane service life.